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Martin Bogdan

Showing results (1-10 of 41) with videos related to

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Frontiers in Computational Neuroscience|May 25, 2026
Computational predictive processing models of consciousness: a systematic review of non-invasive brain signal analysis in disorders of consciousnessSophie Adama, Martin Bogdan
Frontiers in Computational Neuroscience|June 9, 2025
Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcementsDominik Krenzer, Martin Bogdan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Yes/No Classification of EEG data from CLIS patientsSophie Adama, Martin Bogdan
Brain Sciences|January 21, 2023
Application of Soft-Clustering to Assess Consciousness in a CLIS PatientSophie Adama, Martin Bogdan
Brain Informatics|July 14, 2023
Assessing consciousness in patients with disorders of consciousness using soft-clusteringSophie Adama, Martin Bogdan
Frontiers in Neuroscience|September 29, 2025
Assessing consciousness in patients with locked-in syndrome using their EEGSophie Adama, Martin Bogdan
Computational Intelligence and Neuroscience|November 3, 2011
A reinforcement learning framework for spiking networks with dynamic synapsesKarim El-Laithy, Martin Bogdan
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Synaptic energy drives the information processing mechanisms in spiking neural networksKarim El Laithy, Martin Bogdan
IEEE Transactions on Neural Networks|March 13, 2008
Automatic cluster detection in Kohonen's SOMDominik Brugger, Martin Bogdan, Wolfgang Rosenstiel
Plos One|July 11, 2013
Discerning apical and basolateral properties of HT-29/B6 and IPEC-J2 cell layers by impedance spectroscopy, mathematical modeling and machine learningThomas Schmid, Martin Bogdan, Dorothee Günzel
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Frontiers in Computational Neuroscience|May 25, 2026
Computational predictive processing models of consciousness: a systematic review of non-invasive brain signal analysis in disorders of consciousnessSophie Adama, Martin Bogdan
Frontiers in Computational Neuroscience|June 9, 2025
Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcementsDominik Krenzer, Martin Bogdan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Yes/No Classification of EEG data from CLIS patientsSophie Adama, Martin Bogdan
Brain Sciences|January 21, 2023
Application of Soft-Clustering to Assess Consciousness in a CLIS PatientSophie Adama, Martin Bogdan
Brain Informatics|July 14, 2023
Assessing consciousness in patients with disorders of consciousness using soft-clusteringSophie Adama, Martin Bogdan
Frontiers in Neuroscience|September 29, 2025
Assessing consciousness in patients with locked-in syndrome using their EEGSophie Adama, Martin Bogdan
Computational Intelligence and Neuroscience|November 3, 2011
A reinforcement learning framework for spiking networks with dynamic synapsesKarim El-Laithy, Martin Bogdan
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Synaptic energy drives the information processing mechanisms in spiking neural networksKarim El Laithy, Martin Bogdan
IEEE Transactions on Neural Networks|March 13, 2008
Automatic cluster detection in Kohonen's SOMDominik Brugger, Martin Bogdan, Wolfgang Rosenstiel
Plos One|July 11, 2013
Discerning apical and basolateral properties of HT-29/B6 and IPEC-J2 cell layers by impedance spectroscopy, mathematical modeling and machine learningThomas Schmid, Martin Bogdan, Dorothee Günzel
Pageof 5